The state-of-charge (SOC) of a lithium-ion battery is an important parameter that reflects the state of its remaining energy. To address the issues of the initial SOC being indeterminate and the cumulative error increasing over time in the ampere-hour integral method, an algorithm is proposed to correct the error in the ampere-hour integral method. Through the study of the charge and discharge characteristics of a lithium-ion iron phosphate battery, the open circuit voltage-SOC (OCV-SOC) curve and the DC internal resistance-terminal voltage curve are obtained. The proposed algorithm calibrates the SOC when the battery reaches the full charge condition during charging, and it performs online error calibration based on the battery’s characteristic curves when the values of capacity are 7% in the discharge state respectively. The experimental results show that it can effectively reduce the error in the SOC estimation process and control it within 2.00%, indicating a high estimation accuracy.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |